What the data for this use case looks like
Data related to equipment inspection and maintenance for welded structural component manufacturing comes from sources including design drawings, material quality certificates, welding equipment parameter ledgers, welding consumable inventory records, non-destructive testing system data, welder qualification files, and more. Data updates follow the rhythm of each weld seam, batch of workpieces, or work shift. Related documents include welding procedure qualification reports, welding procedure specifications, welding consumable issue slips, welder qualification records, weld inspection reports, repair orders, and others. These documents contain fixed fields such as weld number, welding consumable grade and specification, base material quality, welding current and voltage, welder certification number, detected defect type, and number of repair times. No non-standard custom fields are used.
What constraints these characteristics impose on the tool calling and plugins stage
Scattered data sources across multiple systems require tool calling to support connection to different types of data source plugins. This allows synchronous retrieval of real-time information such as welding consumable inventory, welder qualification, and equipment parameters. High data update frequency requires plugin calls to match the update rhythm of each weld seam or batch of workpieces, to avoid retrieving outdated data. Rigid constraints apply to document fields. Tool calling must strictly verify the format and validity of fields such as welding consumable grade and welder certification number, to prevent invalid information from entering the Q&A process. A failed call or returned incorrect data may lead to welding process deviation or structural failure risk. A complete failure retry and alert mechanism must be configured.
How to set the configuration
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Tool calling mode | Auto-triggered | Matches the real-time response requirements of equipment inspection. No manual trigger is required to call the corresponding data source based on user questions |
| Workflow/API function-call configuration | Enabled | Supports structured return of data such as welding procedures and equipment parameters, facilitating subsequent verification and implementation |
| Maximum context length | 8000–12000 characters | Can hold complete associated documents such as procedure qualification reports and inspection reports for a single weld seam, meeting the information completeness requirements of Q&A |
| Plugin call timeout | 600 seconds | Adapts to the time-consuming requirements of multi-data source synchronization, preventing call failures caused by timeouts in links such as connection to welding consumable warehouses and non-destructive testing systems |
| Single recall result count | Top 8 entries | Matches the number of associated documents for a single batch of welded structural component workpieces, avoiding redundant information interfering with Q&A accuracy |
| Reranker model toggle | Enabled | Sorts recalled documents by relevance, prioritizing returning information such as welding consumable issues and welder qualifications most relevant to the current inspection question |
Three common configuration errors
- The FastGPT plugin editing page always displays the "Unsaved" prompt, regardless of whether the save button is clicked. The cause is failure to correctly connect to the dedicated data source plugin for welded structural components, resulting in the page configuration status failing to sync with the backend.
- Persistent parameter error reports when calling multimodal models. The cause is failure to adjust model input parameters according to the document field format for welded structural components, and failure to match the naming rules for dedicated fields such as welding consumable grades and weld numbers.
- The reranker plugin call succeeds but returns a false result. The cause is failure to configure the plugin trigger condition to match the update frequency of weld inspection reports, resulting in the incoming document format not meeting the plugin's verification requirements.
How to verify successful configuration
- Manually trigger an inspection Q&A for a specific weld seam, and check whether the corresponding welding consumable issue record, welder qualification information, and welding equipment parameters for that weld seam can be accurately retrieved.
- View the plugin call logs, confirm that each call's parameters include dedicated fields for welded structural components such as weld number and welding consumable grade, and that the format meets requirements.
- Simulate a parameter error scenario, such as passing an invalid welder certification number, and verify whether the preset failure handling logic is triggered and a clear error prompt is returned.
- Save the plugin configuration and refresh the page, confirm that the "Unsaved" prompt at the top of the page disappears, and that the configuration content is stored normally.
Note: The configuration values listed above are common starting points. Adjust them based on your own specific use cases and samples.